Difference between revisions of "HPC:GPU"
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| + | This sections describes how to use the GPU resources available via the HPC system. | ||
| + | |||
| + | === Hardware === | ||
| + | There are currently two GPU nodes available via the HPC. Below are the hardware specifications: | ||
| + | |||
| + | * '''2x GPU nodes'''; each configured with | ||
| + | *** 2x 22-core Intel Xeon E5-2699 v4 2.20GHz CPUs (88 threads per node, with hyperthreading turned on) | ||
| + | *** 512GB RAM | ||
| + | *** '''1x Nvidia Tesla P100 16GB GPU Card (3584 CUDA cores & 16GB RAM per card)''' | ||
| + | *** 100 Gb/s InfiniBand connection to the GPFS file system | ||
| + | *** 1.6TB dedicated scratch space provided by local NVMe | ||
| + | |||
| + | === Software === | ||
| + | The GPU nodes have the same set of available software as the rest of the compute nodes. The full list of available software [[HPC:Software|here]] | ||
| + | |||
| + | In addition to this, there are two versions of CUDA that are readily available: | ||
| + | <pre> | ||
| + | $ module avail CUDA | ||
| + | |||
| + | --------------------------------------------------------------------------------- /usr/share/Modules/modulefiles ---------------------------------------------------------------------------------- | ||
| + | CUDA/10.1.243 CUDA/9.2.148 | ||
| + | </pre> | ||
| + | |||
=== Other Pages === | === Other Pages === | ||
---- | ---- | ||
Revision as of 20:46, 28 April 2020
This sections describes how to use the GPU resources available via the HPC system.
Hardware
There are currently two GPU nodes available via the HPC. Below are the hardware specifications:
- 2x GPU nodes; each configured with
- 2x 22-core Intel Xeon E5-2699 v4 2.20GHz CPUs (88 threads per node, with hyperthreading turned on)
- 512GB RAM
- 1x Nvidia Tesla P100 16GB GPU Card (3584 CUDA cores & 16GB RAM per card)
- 100 Gb/s InfiniBand connection to the GPFS file system
- 1.6TB dedicated scratch space provided by local NVMe
Software
The GPU nodes have the same set of available software as the rest of the compute nodes. The full list of available software here
In addition to this, there are two versions of CUDA that are readily available:
$ module avail CUDA --------------------------------------------------------------------------------- /usr/share/Modules/modulefiles ---------------------------------------------------------------------------------- CUDA/10.1.243 CUDA/9.2.148
